🔗 Deep Learning - aibrain0x01 · Scour

Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning 🧠Neuromorphic Computing

StableGrad: Backward Scale Control without Batch Normalization ⚙️MLOps

Rethinking Neural Network Learning Rates: A Stackelberg Perspective 📝LLMs

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines 🧠Machine Learning

When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR ✨Generative AI

Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions 📝LLMs

A Dual Physics-Informed Kolmogorov-Arnold Neural Network Framework for Continuum Topology Optimization 🔥PyTorch

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning 🎮Reinforcement Learning

Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach 🔥PyTorch

Pointwise Generalization in Deep Neural Networks ✨Generative AI

Layer-wise Derivative Controlled Networks 🎮Reinforcement Learning

Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity 🎮Reinforcement Learning

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise ⚙️Transformers

Compositional Sparsity as an Inductive Bias for Neural Architecture Design ⚙️Transformers

Robust Basis Spline Decoupling for the Compression of Transformer Models ⚙️Transformers

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More? 🎨GANs

ArcGate: Adaptive Arctangent Gated Activation 🧠Neuromorphic Computing

From Llama to Cria: Scaling Down Neural Networks via Neuron-Level Spectral Structural Importance Evaluation 🧠Neuromorphic Computing

PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams 🎮Reinforcement Learning

MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization 🔥PyTorch

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